def grid_plot(self):
"""
plotting the grid
"""
maxfaces = self.cells.shape[1]
pointdata = self.readTXT('%s/points.dat' % self.dire)
xp1 = (pointdata[:, 0] - self.originx) / 1.
yp1 = (pointdata[:, 1] - self.originy) / 1.
#########################################################
xp = np.zeros((self.Nc, maxfaces + 1))
yp = np.zeros((self.Nc, maxfaces + 1))
cells = self.cells.copy()
#cells[cells.mask]=0
xp[:, :maxfaces] = xp1[cells]
xp[range(self.Nc), self.nfaces] = xp1[cells[:, 0]]
yp[:, :maxfaces] = yp1[cells]
yp[range(self.Nc), self.nfaces] = yp1[cells[:, 0]]
##########################################################
xy = np.zeros((maxfaces + 1, 2))
def _closepoly(ii):
nf = self.nfaces[ii] + 1
xy[:nf, 0] = xp[ii, :nf]
xy[:nf, 1] = yp[ii, :nf]
return xy[:nf, :].copy()
cellxy = [_closepoly(ii) for ii in range(self.Nc)]
#xlims = np.asarray([self.xv.min(), self.xv.max()])
#ylims = np.asarray([self.yv.min(), self.yv.max()])
xlims = np.asarray([616832, 709049]) - self.originx
ylims = np.asarray([2854748, 3050710]) - self.originy
fig = plt.figure(figsize=(12, 10))
ax = fig.add_subplot(111)
#cmap = plt.set_cmap('bwr')
collection = PolyCollection(cellxy, facecolors='none')
#collection.set_array(np.array(self.L[:]))
collection.set_edgecolors('k')
collection.set_linewidths(0.3)
ax.add_collection(collection)
lc = self.outline() #line collection of outline
ax.add_collection(lc)
ax.set_xlim(xlims)
ax.set_ylim(ylims)
ax.set_aspect('equal')
ax.tick_params(labelsize=22)
ax.set_xlabel('Easting (m)', fontsize=22)
ax.set_ylabel('Northing (m)', fontsize=22)
fig.tight_layout()
plt.show()
class Mesh():
"""
Mesh described by vertices and faces
"""
def __init__(self,
ax,
transform,
vertices,
faces,
cmap=None,
facecolors="white",
edgecolors="black",
linewidths=0.5,
mode="front"):
"""
"""
self.collection = PolyCollection([], clip_on=False, snap=False)
self.vertices = vertices
self.faces = faces
self.cmap = cmap
self.facecolors = mpl.colors.to_rgba_array(facecolors)
self.edgecolors = mpl.colors.to_rgba_array(edgecolors)
self.linewidths = linewidths
self.mode = mode
self.update(transform)
ax.add_collection(self.collection, autolim=False)
def update(self, transform):
"""
Update mesh according to transform (4x4 array)
"""
T = glm.transform(self.vertices, transform)[self.faces]
Z = -T[:, :, 2].mean(axis=1)
if self.cmap is not None:
# Facecolors using depth buffer
norm = mpl.colors.Normalize(vmin=Z.min(), vmax=Z.max())
facecolors = self.cmap(norm(Z))
else:
facecolors = self.facecolors
edgecolors = self.edgecolors
linewidths = self.linewidths
# Back face culling
if self.mode == "front":
front, back = glm.frontback(T)
T, Z = T[front], Z[front]
if len(facecolors) == len(self.faces):
facecolors = facecolors[front]
if len(edgecolors) == len(self.faces):
edgecolors = edgecolors[front]
# Front face culling
elif self.mode == "back":
front, back = glm.frontback(T)
T, Z = T[back], Z[back]
if len(facecolors) == len(faces):
facecolors = facecolors[back]
if len(edgecolor) == len(faces):
edgecolors = edgecolors[back]
# Separate 2d triangles from zbuffer
triangles = T[:, :, :2]
antialiased = linewidths > 0
# Sort triangles according to z buffer
I = np.argsort(Z)
triangles = triangles[I, :]
if len(facecolors) == len(I):
facecolors = facecolors[I, :]
if len(edgecolors) == len(I):
edgecolors = edgecolors[I, :]
self.collection.set_verts(triangles)
self.collection.set_linewidths(linewidths)
self.collection.set_facecolors(facecolors)
self.collection.set_edgecolors(edgecolors)
self.collection.set_antialiased(antialiased)
lLCollection=PolyCollection(vivll[whichVertsToPlot][w],zorder=10)
col1=(c-cMin)/(cMax-cMin)
col1=num.clip(col1,0.,1.)
if showBinaryColours:
ww=num.where(c>0.3)
www=num.where(c<=0.3)
col1[ww]=1.
col1[www]=0.1
#wc=num.where(c>0.1)
#col1[:]=1.
collectionColours=cmap(col1)
collectionColours[:,3]=alpha
#collectionColours[w][:,3]=0.0
lLCollection.set_facecolors(collectionColours[whichVertsToPlot][w])
lLCollection.set_linewidths(0.0)
slLCollection=PolyCollection(vivll[whichVertsToPlot][w])
scollectionColours=cmap(s/num.max(s))
scollectionColours[:,3]=alpha
#collectionColours[w][:,3]=0.0
slLCollection.set_facecolors(scollectionColours[whichVertsToPlot][w])
slLCollection.set_linewidths(0.0)
meanWDs=num.array(meanWDs)
stdWDs=num.array(stdWDs)#/meanWDs
x=num.array(x)
class Bar:
""" Bar (histogram) """
def __init__(self,
ax,
transform,
Z,
facecolors="white",
edgecolors="black",
linewidth=0,
clip=False):
""" """
self.Z = Z
if isinstance(facecolors, np.ndarray):
shape = facecolors.shape
facecolors = facecolors.reshape(-1, shape[-1])
facecolors = mpl.colors.to_rgba_array(facecolors)
self.facecolors = facecolors.reshape(shape[0], shape[1], 4)
else:
shape = Z.shape
self.facecolors = np.zeros((shape[0], shape[1], 4))
self.facecolors[...] = mpl.colors.to_rgba(facecolors)
if isinstance(edgecolors, np.ndarray):
shape = edgecolors.shape
edgecolors = edgecolors.reshape(-1, shape[-1])
edgecolors = mpl.colors.to_rgba_array(edgecolors)
self.edgecolors = edgecolors.reshape(shape[0], shape[1], 4)
else:
shape = Z.shape
self.edgecolors = np.zeros((shape[0], shape[1], 4))
self.edgecolors[...] = mpl.colors.to_rgba(edgecolors)
self.linewidth = linewidth
self.xlim = -0.5, +0.50
self.ylim = -0.5, +0.50
self.zlim = -0.5, +0.50
self.clip = clip
# Because all the bars have the same orientation, we can use a hack to
# shade each face at once instead of computing individual face lighting.
self.shade = np.array([[1.00, 1.00, 0.75, 1.00, 0.50, 1.00]])
self.collection = PolyCollection([], clip_on=self.clip, snap=False)
self.update(transform)
ax.add_collection(self.collection, autolim=False)
def update(self, transform):
""" """
Z = self.Z
xmin, xmax = self.xlim
ymin, ymax = self.ylim
zmin, zmax = self.zlim
dx, dy = 0.5 * 1 / Z.shape[0], 0.5 * 1 / Z.shape[1]
# Each bar is described by 8 vertices and 6 faces
V = np.zeros((Z.shape[0], Z.shape[1], 8, 3))
F = np.zeros((Z.shape[0], Z.shape[1], 6, 4), dtype=int)
# Face and edge colors for the six faces
FC = np.zeros((Z.shape[0], Z.shape[1], 6, 4))
FC[:, :] = self.facecolors.reshape(Z.shape[0], Z.shape[1], 1, 4)
FC *= self.shade.T
FC[:, :, :, 3] = 1
EC = np.zeros((Z.shape[0], Z.shape[1], 6, 4))
EC[:, :] = self.edgecolors.reshape(Z.shape[0], Z.shape[1], 1, 4)
# Build vertices
X, Y = np.meshgrid(np.linspace(xmin, xmax, Z.shape[0]),
np.linspace(ymin, ymax, Z.shape[1]))
V[..., 0] = X.reshape(Z.shape[0], Z.shape[1], 1)
V[..., 1] = Y.reshape(Z.shape[0], Z.shape[1], 1)
V[:, :, 0] += [+dx, +dy, zmin]
V[:, :, 1] += [+dx, -dy, zmin]
V[:, :, 2] += [-dx, -dy, zmin]
V[:, :, 3] += [-dx, +dy, zmin]
V[:, :, 4] += [+dx, +dy, zmin]
V[:, :, 5] += [+dx, -dy, zmin]
V[:, :, 6] += [-dx, -dy, zmin]
V[:, :, 7] += [-dx, +dy, zmin]
V[:, :, 4:, 2] += Z.reshape(Z.shape[0], Z.shape[1], 1)
# Build faces
I = 8 * np.arange(Z.shape[0] * Z.shape[1])
F[:, :] = I.reshape(Z.shape[0], Z.shape[1], 1, 1)
F[:, :] += [
[0, 1, 2, 3], # -Z
[0, 1, 5, 4], # +X
[2, 3, 7, 6], # -X
[1, 2, 6, 5], # -Y
[0, 3, 7, 4], # +Y
[4, 5, 6, 7]
] # +Z
# Actual transformation
V = V.reshape(-1, 3)
V = glm.transform(V[F], transform) #[...,:2]
# Depth computation
# We combine the global "depth" of the bar (depth of the bottom face)
# and the local depth of each face. This trick avoids problems when
# sorting all the different faces.
Z1 = (V[:, :, 0, :, 2].mean(axis=2)).reshape(Z.shape[0], Z.shape[1], 1)
Z2 = (V[..., 2].mean(axis=3) + 10 * Z1).ravel()
# Sorting
I = np.argsort(-Z2)
V = (V[..., :2].reshape(Z.shape[0] * Z.shape[1] * 6, 4, 2))
self.collection.set_verts(V[I])
self.collection.set_facecolors(FC.reshape(-1, 4)[I])
self.collection.set_edgecolors(EC.reshape(-1, 4)[I])
self.collection.set_linewidths(self.linewidth)
if self.linewidth == 0.0:
self.collection.set_antialiased(False)
else:
self.collection.set_antialiased(True)
ax.legend(loc='upper right')
plt.savefig(case + '_' + str(n) + '.png',
bbox_inches='tight')
plt.close('all')
elif 'U-chan' in case and n % 10 == 0:
fig = plt.figure()
ax = fig.add_subplot(111)
collection = PolyCollection(
xy,
cmap=plt.get_cmap('jet')) # 'Blues' 'jet' 'ocean' mcm
ui = self.get_center_vel(uj)
uimag = np.sqrt(
np.multiply(ui[:, 0], ui[:, 0]) +
np.multiply(ui[:, 1], ui[:, 1]))
collection.set_array(uimag)
collection.set_linewidths(0.2)
collection.set_edgecolors('none')
collection.set_clim(vmin=0.15, vmax=0.45)
ax.add_collection(collection)
ax.set_xlim([-2.2, 2.5])
ax.set_ylim([-0.1, 2.6])
ax.set_aspect('equal')
plt.savefig(case + '_' + str(n) + '.png',
bbox_inches='tight')
plt.close('all')
return hi, uj, ei
def get_edge_x_vel(self, uj):
"""
Return x direction velocity and location at cell edge midpoints
